Incident Score: Analysis & Impact (PRI1783492310)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of National Privacy Commission's Breach and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteo’s incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts National Privacy Commission Rankiteo cyber scoring and cyber rating.
- Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the National Privacy Commission breach identified under incident ID PRI1783492310.
The analysis begins with a detailed overview of National Privacy Commission's information like the linkedin page: https://www.linkedin.com/company/privacygovph, the number of followers: 0, the industry type: Government Administration and the number of employees: 148 employees
After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 830 and after the incident was 700 with a difference of -130 which is could be a good indicator of the severity and impact of the incident.
In the next step of the video, we will analyze in more details the incident and the impact it had on National Privacy Commission and their customers.
A newly reported cybersecurity incident, "Near-Record Personal Data Breaches in Japan (Fiscal 2025)", has drawn attention.
Japan reported 19,417 personal data breach cases in fiscal 2025, the second-highest annual total on record.
The disruption is felt across the environment, and exposing Personal Data, with nearly 19,417 cases records at risk.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing, teams are taking away lessons such as Persistent vulnerabilities in data handling, particularly human error, contribute to breaches. Government agencies face rising breach incidents, and recommending next steps like Improve preventive measures, enhance enforcement actions, and monitor data handling practices.
Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.
The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.
MITRE ATT&CK® Correlation Analysis
Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified User Execution: Malicious File (T1204.002) with lower confidence (30%), supported by evidence indicating human error, such as hospitals and pharmacies sending documents. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with lower confidence (40%), supported by evidence indicating name list broker accused of supplying personal data to fraud groups. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating 19,417 personal data breach cases in fiscal 2025 and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating private-sector breaches declined to 17,139 from 19,056. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating data sold on dark web such as Yes (name list broker case) and Exfiltration Over Alternative Protocol (T1048) with moderate confidence (50%), supported by evidence indicating misdirecting sensitive items like credit cards. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating human error...sending documents to incorrect recipients and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating companies misdirecting sensitive items like credit cards. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- National Privacy Commission Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/privacygovph/incident/PRI1783492310
- National Privacy Commission CyberSecurity Rating page: https://www.rankiteo.com/company/privacygovph
- National Privacy Commission Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/pri1783492310-personal-information-protection-commission-breach-may-2025/
- National Privacy Commission CyberSecurity Score History: https://www.rankiteo.com/company/privacygovph/history
- National Privacy Commission CyberSecurity Incident Source: https://www.japantimes.co.jp/news/2026/07/08/japan/japan-data-breaches-second-highest/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf